|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use GenDisMixClassifier | |
---|---|
de.jstacs.classifier.scoringFunctionBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of NormalizableScoringFunction s by
a unified generative-discriminative learning principle |
de.jstacs.classifier.scoringFunctionBased.msp | Provides an implementation of a classifier that allows to train the parameters of a set of ScoringFunctions either
by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL) |
Uses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix |
---|
Methods in de.jstacs.classifier.scoringFunctionBased.gendismix that return GenDisMixClassifier | |
---|---|
GenDisMixClassifier |
GenDisMixClassifier.clone()
|
static GenDisMixClassifier[] |
GenDisMixClassifier.create(GenDisMixClassifierParameterSet params,
LogPrior prior,
double[] weights,
NormalizableScoringFunction[]... functions)
This method creates an array of GenDisMixClassifiers by using the cross-product of the given NormalizableScoringFunctions. |
Uses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.msp |
---|
Subclasses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.msp | |
---|---|
class |
MSPClassifier
This class implements a classifier that allows the training via MCL or MSP principle. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |